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Design and Implementation of Collaborative Filtering Application System using Apache Mahout -Focusing on Movie Recommendation System-

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2017, 22(7), pp.125-131
  • DOI : 10.9708/jksci.2017.22.07.125
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : June 5, 2017
  • Accepted : July 6, 2017
  • Published : July 31, 2017

Jun-Ho Lee 1 Joo Kyung-Soo 1

1순천향대학교

Accredited

ABSTRACT

It is not easy for the user to find the information that is appropriate for the user among the suddenly increasing information in recent years. One of the ways to help individuals make decisions in such a lot of information is the recommendation system. Although there are many recommendation methods for such recommendation systems, a representative method is collaborative filtering. In this paper, we design and implement the movie recommendation system on user-based collaborative filtering of apache mahout. In addition, Pearson correlation coefficient is used as a method of measuring the similarity between users. We evaluate Precision and Recall using the MovieLens 100k dataset for performance evaluation.

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